Need to Know: A stellar high-level overview of machine learning fundamentals in an engaging and visually stimulating format.
Loved:
- Very user-friendly, engaging, and playful slidedeck.
- Has the potential to take some of the pain out of the process, through introducing core concepts.
- Breaks up content by beginner/need-to-know (green), and intermediate/less-useful noise (specifically for individuals starting out) (blue).
- Provides resources to dive deeper into machine learning.
- Provides some top people to follow in machine learning.
Disliked:
- That there is not more! Jason's creativity, visual-based teaching approach, and quirky sense of humor all support the absorption of the material.
Lecturer:
- Senior Creative Technologist and Research Engineer at Google
- Masters in Computer Science from University of Bristols
- Personal Note: He's also kind on Twitter! :)
Links:
Tips on Watching:
- Set aside 2-4 hours to work through the deck once.
- Since there is a wealth of knowledge, refer back as needed (or as a grounding source).
- Identify areas of interest and explore the resources provided.